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ORCIDMiao Zhang 0022
Person information
Other persons with the same name
- Miao Zhang — disambiguation page
- Miao Zhang 0001
![[0000-0001-9428-0573]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-9428-0573")
— Harbin Institute of Technology, Department of Control Science and Engineering, China - Miao Zhang 0002 — Institute of Remote Sensing and Digital Earth, Division of Digital Agriculture, Beijing, China (and 1 more)
- Miao Zhang 0003 — Simon Fraser University, BC, Canada (and 1 more)
- Miao Zhang 0004 — Dalian University of Technology, School of Information Science and Engineering, Dalian, China (and 1 more)
- Miao Zhang 0005 — University of Windsor, Ontario, Canada
- Miao Zhang 0006 — Karlsruhe University, Germany
- Miao Zhang 0007
- Miao Zhang 0008
- Miao Zhang 0009
- Miao Zhang 0010
- Miao Zhang 0011
- Miao Zhang 0012
- Miao Zhang 0013
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- Miao Zhang 0027
- Miao Zhang 0028
- Miao Zhang 0029
- Miao Zhang 0030
- Miao Zhang 0031
- Miao Zhang 0032
- Miao Zhang 0033
- Miao Zhang 0034
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2020 – today
- 2025
[c18]Kai Zhao, Zhihao Zhuang, Miao Zhang, Chenjuan Guo, Yang Shu, Bin Yang:
Enhancing Diversity for Data-free Quantization. CVPR 2025: 20969-20978- [c17]Zhonghao Li, Ji Shi, Xinming Zhang, Miao Zhang, Bo Li:
SFi-Former: Sparse Flow Induced Attention for Graph Transformer. ICMR 2025: 760-769 - [i20]Zhonghao Li, Ji Shi, Xinming Zhang, Miao Zhang, Bo Li:
SFi-Former: Sparse Flow Induced Attention for Graph Transformer. CoRR abs/2504.20666 (2025) - 2024
- [j13]Hongrong Cheng, Miao Zhang, Javen Qinfeng Shi:
Influence Function Based Second-Order Channel Pruning: Evaluating True Loss Changes for Pruning is Possible Without Retraining. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9023-9037 (2024) - [j12]Hongrong Cheng, Miao Zhang, Javen Qinfeng Shi:
A Survey on Deep Neural Network Pruning: Taxonomy, Comparison, Analysis, and Recommendations. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 10558-10578 (2024) - [j11]David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, Christian S. Jensen:
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models. Proc. VLDB Endow. 17(11): 2708-2721 (2024) - [j10]Xinle Wu, Xingjian Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen:
Fully Automated Correlated Time Series Forecasting in Minutes. Proc. VLDB Endow. 18(2): 144-157 (2024) - [c16]Jiarui Jiang, Wei Huang, Miao Zhang, Taiji Suzuki, Liqiang Nie:
Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization. NeurIPS 2024 - [i19]David Campos, Bin Yang, Tung Kieu, Miao Zhang, Chenjuan Guo, Christian S. Jensen:
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models - Extended Version. CoRR abs/2404.13990 (2024) - [i18]Hongrong Cheng, Miao Zhang, Javen Qinfeng Shi:
MINI-LLM: Memory-Efficient Structured Pruning for Large Language Models. CoRR abs/2407.11681 (2024) - [i17]Jiarui Jiang, Wei Huang, Miao Zhang, Taiji Suzuki, Liqiang Nie:
Unveil Benign Overfitting for Transformer in Vision: Training Dynamics, Convergence, and Generalization. CoRR abs/2409.19345 (2024) - [i16]Xinle Wu, Xingjian Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen:
Fully Automated Correlated Time Series Forecasting in Minutes. CoRR abs/2411.05833 (2024) - 2023
- [j9]Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen:
AutoCTS+: Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting. Proc. ACM Manag. Data 1(1): 97:1-97:26 (2023) - [j8]David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen:
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation. Proc. ACM Manag. Data 1(2): 171:1-171:27 (2023) - [j7]Kai Zhao, Chenjuan Guo, Yunyao Cheng, Peng Han, Miao Zhang, Bin Yang:
Multiple Time Series Forecasting with Dynamic Graph Modeling. Proc. VLDB Endow. 17(4): 753-765 (2023) - [j6]Wei Huang, Chunrui Liu, Yilan Chen, Richard Yi Da Xu, Miao Zhang, Tsui-Wei Weng:
Analyzing Deep PAC-Bayesian Learning with Neural Tangent Kernel: Convergence, Analytic Generalization Bound, and Efficient Hyperparameter Selection. Trans. Mach. Learn. Res. 2023 (2023) - [c15]Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan:
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels. NeurIPS 2023 - [c14]Xin Zheng, Miao Zhang, Chunyang Chen, Quoc Viet Hung Nguyen, Xingquan Zhu, Shirui Pan:
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data. NeurIPS 2023 - [c13]Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan:
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs. WWW 2023: 611-620 - [i15]Xin Zheng, Miao Zhang, Chunyang Chen, Qin Zhang, Chuan Zhou, Shirui Pan:
Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs. CoRR abs/2302.12357 (2023) - [i14]David Campos, Miao Zhang, Bin Yang, Tung Kieu, Chenjuan Guo, Christian S. Jensen:
LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation - Extended Version. CoRR abs/2302.12721 (2023) - [i13]Xin Zheng, Miao Zhang, Chunyang Chen, Quoc Viet Hung Nguyen, Xingquan Zhu, Shirui Pan:
Structure-free Graph Condensation: From Large-scale Graphs to Condensed Graph-free Data. CoRR abs/2306.02664 (2023) - [i12]Hongrong Cheng, Miao Zhang, Javen Qinfeng Shi:
Influence Function Based Second-Order Channel Pruning-Evaluating True Loss Changes For Pruning Is Possible Without Retraining. CoRR abs/2308.06755 (2023) - [i11]Hongrong Cheng, Miao Zhang, Javen Qinfeng Shi:
A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations. CoRR abs/2308.06767 (2023) - [i10]Xin Zheng, Miao Zhang, Chunyang Chen, Soheila Molaei, Chuan Zhou, Shirui Pan:
GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels. CoRR abs/2310.14586 (2023) - 2022
- [j5]Li Wang, Wei Huang, Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Weidong Su:
Pruning graph neural networks by evaluating edge properties. Knowl. Based Syst. 256: 109847 (2022) - [c12]Ruibin Chen, Miao Zhang, Xin Zheng, Shirui Pan:
Thrifty Neural Architecture Search for Medical Image Segmentation (Student Abstract). AAAI 2022: 12925-12926 - [c11]Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Su, Jilin Hu, Gholamreza Haffari, Bin Yang:
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule. CVPR 2022: 11861-11870 - [c10]Xin Zheng, Miao Zhang, Chunyang Chen, Chaojie Li, Chuan Zhou, Shirui Pan:
Multi-Relational Graph Neural Architecture Search with Fine-grained Message Passing. ICDM 2022: 783-792 - [c9]Wei Huang, Yayong Li, Weitao Du, Richard Y. D. Xu, Jie Yin, Ling Chen, Miao Zhang:
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective. ICLR 2022 - [c8]Miao Zhang, Wei Huang, Bin Yang:
Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations. NeurIPS 2022 - [c7]Miao Zhang, Li Wang, David Campos, Wei Huang, Chenjuan Guo, Bin Yang:
Weighted Mutual Learning with Diversity-Driven Model Compression. NeurIPS 2022 - [i9]Xin Zheng, Yixin Liu, Shirui Pan, Miao Zhang, Di Jin, Philip S. Yu:
Graph Neural Networks for Graphs with Heterophily: A Survey. CoRR abs/2202.07082 (2022) - [i8]Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Bin Yang, Christian S. Jensen:
Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting. CoRR abs/2211.16126 (2022) - [i7]Xinle Wu, Dalin Zhang, Miao Zhang, Chenjuan Guo, Shuai Zhao, Yi Zhang, Huai Wang, Bin Yang:
AutoPINN: When AutoML Meets Physics-Informed Neural Networks. CoRR abs/2212.04058 (2022) - 2021
- [j4]Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Chuan Zhou, Zongyuan Ge, Steven Weidong Su:
One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting. IEEE Trans. Pattern Anal. Mach. Intell. 43(9): 2921-2935 (2021) - [j3]Miao Zhang, Huiqi Li, Shirui Pan, Juan Lyu, Steve S. H. Ling, Steven W. Su:
Convolutional Neural Networks-Based Lung Nodule Classification: A Surrogate-Assisted Evolutionary Algorithm for Hyperparameter Optimization. IEEE Trans. Evol. Comput. 25(5): 869-882 (2021) - [c6]Miao Zhang, Steven W. Su, Shirui Pan, Xiaojun Chang, M. Ehsan Abbasnejad, Reza Haffari:
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients. ICML 2021: 12557-12566 - [i6]Miao Zhang, Steven W. Su, Shirui Pan, Xiaojun Chang, Ehsan Abbasnejad, Reza Haffari:
iDARTS: Differentiable Architecture Search with Stochastic Implicit Gradients. CoRR abs/2106.10784 (2021) - [i5]Miao Zhang, Steven W. Su, Shirui Pan, Xiaojun Chang, Wei Huang, Gholamreza Haffari:
Differentiable Architecture Search Without Training Nor Labels: A Pruning Perspective. CoRR abs/2106.11542 (2021) - [i4]Miao Zhang, Jilin Hu, Steven Su, Shirui Pan, Xiaojun Chang, Bin Yang, Gholamreza Haffari:
BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule. CoRR abs/2111.13204 (2021) - 2020
- [c5]Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Steven W. Su:
Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization. CVPR 2020: 7806-7815 - [c4]Miao Zhang, Huiqi Li, Shirui Pan, Taoping Liu, Steven W. Su:
One-Shot Neural Architecture Search via Novelty Driven Sampling. IJCAI 2020: 3188-3194 - [c3]Miao Zhang, Huiqi Li, Shirui Pan, Xiaojun Chang, Zongyuan Ge, Steven W. Su:
Differentiable Neural Architecture Search in Equivalent Space with Exploration Enhancement. NeurIPS 2020
2010 – 2019
- 2019
- [c2]Miao Zhang, Huiqi Li, Steven W. Su:
High Dimensional Bayesian Optimization via Supervised Dimension Reduction. IJCAI 2019: 4292-4298 - [i3]Miao Zhang, Huiqi Li, Juan Lyu, Sai-Ho Ling, Steven W. Su:
Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimization. CoRR abs/1901.00276 (2019) - [i2]Miao Zhang, Huiqi Li, Steven W. Su:
High Dimensional Bayesian Optimization via Supervised Dimension Reduction. CoRR abs/1907.08953 (2019) - [i1]Miao Zhang, Huiqi Li, Shirui Pan, Taoping Liu, Steven W. Su:
Efficient Novelty-Driven Neural Architecture Search. CoRR abs/1907.09109 (2019) - 2018
- [j2]Miao Zhang, Huiqi Li:
A reference direction and entropy based evolutionary algorithm for many-objective optimization. Appl. Soft Comput. 70: 108-130 (2018) - [j1]Miao Zhang, Huiqi Li, Li Liu, Rajkumar Buyya:
An adaptive multi-objective evolutionary algorithm for constrained workflow scheduling in Clouds. Distributed Parallel Databases 36(2): 339-368 (2018) - [c1]Wentian Zhang, Taoping Liu, Miao Zhang, Yi Zhang, Huiqi Li, Maiken Ueland, Shari L. Forbes, X. Rosalind Wang, Steven W. Su:
NOS.E: A New Fast Response Electronic Nose Health Monitoring System. EMBC 2018: 4977-4980
Coauthor Index
aka: Steven Weidong Su
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